Jeya Maria Jose is a Senior Researcher at Microsoft Research . His research spans Computer Vision, Machine Learning, and NLP with an emphasis on Healthcare. In Microsoft Research, Jose is currently building multi-modal AI systems that harness large-scale real-world data to accelerate biomedical discoveries. GigaTIME Blog
On the 111th episode, our guest is Moritz Fuchs, a researchers from the Bosch Health Campus, Stuttgart Germany. Moritz Fuchs is an expert on Out-of-Distribution quantification in Medical Imaging.
Vamsi Velcheti is the Chief of Hematology and Oncology and Florida Department of Health Chair of Cancer Research at Mayo Clinic Florida, USA. An expert in lung cancer, Vamsi leads a multidisciplinary thoracic oncology program specializing in AI-driven predictive models, biomarker-driven targeted therapies, immuno-oncology, and early-phase drug development.
Sara Moccia is an Associate Professor in University of Chieti – Pescara, Italy. Sara uses deep learning for the analysis of a wide range of medical images to support clinicians during the actual clinical and surgical procedures. AirCare
Hari Trivedi is an associate professor in Radiology and Imaging Sciences at Emory University, USA. Hari is the co-director of the Health Innovation and Translational Informatics (HITI) lab where he works on machine learning in radiology. Real-world performance evaluation of a commercial deep learning model for intracranial hemorrhage detection AI in Action: A Road Map From the Radiology AI Council for Effective Model Evaluation and Deployment...
Pierre Jannin is a legend from the MICCAI society for his research in Image-guided Surgery. Pierre is an INSERM Research Director, located in Rennes France. From 2012, he has been heading the Inserm Research group MediCIS. Pierre is designing and developing computer assisted surgery systems for 30+ years. Towards responsible research in digital technology for health care
Mohammad Yaqub is an Associate Professor in Mohammad Bin Zayed University of AI in Abu Dhabi. Mohammad works on problems in medical image analysis, radiomics and radiogenomics. He investigates continual learning, adversarial attacks and defense, and studies healthcare challenges using natural language processing. Mohammad is the general chair of MICCAI 2026.
Nassir Navab is a professor of computer-aided medical procedures and augmented reality in TU Munich. His work involves developing technologies to improve the quality of medical intervention and bridges the gap between medicine and computer science. After studying mathematics and physics, computer engineering and systems control, Prof. Navab did his doctorate at INRIA / Paris XI. He then did two years of postdoctoral research at MIT Media Laboratory in Cambridge, USA. Prior to becoming a full pro...
Francesco Ciompi is an Associate Professor and Research Group Leader in AI for Precision Medicine at the Department of Pathology of Radboud University Medical Center in Nijmegen, the Netherlands. His main research focus is AI for precision medicine in the area of pathology, with applications to discovery and implementation of predictive and prognostic biomarkers in immuno oncology, and computer aided diagnosis for large-scale digital pathology and multi-modal data....
Miguel Angel Gonzalez Ballister is a professor at the Universitat Pompeu Fabra in Barcelona, where he founded the famous Barcelona Centre for New Medical Technologies, BCN Medtech. Miguel has more than 400 publications in peer-reviewed scientific journals and conferences, and has supervised 20+ PhD theses.
Sophia Bano is an associate professor in Robotics and Artificial Intelligence in the Department of Computer Science, University College London. Sophia is doing award winning research on medical robotics, and organizing IPCAI 25 and 26.
Bisesh Khanal is the director of NAAMII Nepal and founder of Abhinavnepal . Bisesh did his PhD in INRIA Sophia Antipolis and PostDoc in London. His dream is to bring world class AI research in Nepal.
Awesome NCA NCA High Resolution Medical Image Segmentation Networks • MED-NCA: Bio-inspired medical image segmentation (Kalkhof et al.) https://www.sciencedirect.com/science/article/pii/S1361841525001483 • Med-NCA: Robust and lightweight segmentation with neural cellular automata (Kalkhof et al.) https://arxiv.org/pdf/2302.03473 • M3D-NCA: Robust 3D segmentation with built-in quality control (Kalkhof et al.) https://arxiv.org/pdf/2309.02954 NCA for Medical Image Registration • NCA-Morph: M...
Neural Cellular Automata Background • Growing Neural Cellular Automata (Mordvintsev et al.) https://distill.pub/2020/growing-ca/?ref=https://githubhelp.com NCA High Resolution Medical Image Segmentation Networks • MED-NCA: Bio-inspired medical image segmentation (Kalkhof et al.) https://www.sciencedirect.com/science/article/pii/S1361841525001483 • Med-NCA: Robust and lightweight segmentation with neural cellular automata (Kalkhof et al.) https://arxiv.org/pdf/2302.03473 • M3D-NCA: Robust 3D segm...
Jakob Wasserthal, a researcher of Medical AI, located in the University Hospital Basel, Switzerland. Jakob is well-known for his TotalSegmentator. Web: https://totalsegmentator.com/ GitHub: https://github.com/wasserth/TotalSegmentator
Paul Barach , an anesthesiologist and critical care physician-scientist as well as public health researcher from Thomas Jefferson University, USA. Paul is translating research into strategies for patient safety and health protection. He has more than 25 years of experience as a practicing physician and physician executive in the military and in academic medical centers. Paul has written the following books 1. Surgical Patient Care 2. Human Factors in Surgery Jbara Innovation...
Jens Kleesiek is a Professor of Translational Image-guided Oncology in the university hospital Essen. The Focus of Jens’s research is on applying self-supervised and weakly supervised learning paradigms to recognize clinically relevant patterns in large and complex data and the integration of multimodal data sources to enhance the decision-making process at the point of care.
Ghazal Ghazei, a research scientist in Karl Zeiss GmbH. She is focusing on medical AI for eye diagnostics and surgery applications.
Aleksei Tiulpin is an Assistant Professor at the University of Oulu, Finnland and soon to be a professor in Cornell, USA. Aleksei focuses on Intelligent Medical Systems, and develops new machine learning methods for medical applications.
Pingkun Yan is a full professor at the Department of Biomedical Engineering at Rensselaer Polytechnic Institute (RPI), USA. Before joining RPI, he was a Senior Scientist of Philips Research working at the clinical site at the National Institutes of Health (NIH). His research focuses on translational medical imaging informatics and image-guided intervention.
Marco Lorenzi is a research scientist in the EPIONE team of Inria Sophia Antipolis and Université Côte d’Azur, France. Marco's research is on the study of statistical learning methods to model heterogeneous data in biomedical applications. His group has developed the FedBioMed framework.
Ehsan Adeli is an Assistant Professor from Stanford University , directing the Stanford Translational AI (STAI) in Medicine and Mental Health Lab. Ehsan is also a Co-Director of Stanford AGILE Consortium . Developing ICU Clinical Behavioral Atlas Using Ambient Intelligence and Computer Vision Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis...
Often as professional scientists who publish for a living, we have to face the question of novelty. As the questions we ask are often living in the liminal space of technology, clinical practice and social norms, it's not an easy task to determine what really novelty is. Yet if you take the comments of reviewers seriously as an early career researcher, you might get an imposter syndrome that everyone but you clearly understands what novelty is. We will have a deep discussion about how we can con...
Veronika Cheplygina is a professor in the IT university of Copenhagen. She is focusing on making medical AI more open & inclusive. Veronika also does a series of interviews with researchers called "How I Fail" . Copycats: the many lives of a publicly available medical imaging dataset
Karim Lekadir is an ICREA Research Professor in the Department of Mathematics and Computer Science at the University of Barcelona. He investigates new data science techniques for trustworthy and ethical artificial intelligence in medicine. He has been PI of many EU-funded projects, and was awarded an ERC Consolidator grant to investigate new AI techniques for resource-limited settings. Karim was the General Chair for the MICCAI 2024, that happened in Morocco. FUTURE-AI : international consensus ...
Zhongliang Jiang is leading the Robotics and Ultrasound Team at TU Munich, Germany. His research spans over medical robotics, robot learning, control and robotic ultrasound. Zhongliang's YouTube channel
Linda Johnson is an associate professor on cardiovascular research at the Lund university, Sweden. Artificial intelligence for direct-to-physician reporting of ambulatory electrocardiography
Mauricio Reyes is a professor at the ARTORG center in the university of Bern, Switzerland. Beyond pure academic research, Mauricio is quite successful in translational research. He co-founded Crisalix and got the first FDA-approval on AI for brain tumor patients. Mauricio is deeply interested in communicating science and technology to the broader audience.
Daniel Truhn is a physicist, imaging scientist, and clinical radiologist with a dedicated focus on machine learning and MRI. He is currently a professor in University Hospital Aachen, Germany bringing a series of work on Large Language Models for Radiology reporting.
Drew Williamson is a board certified pathologist who is focusing on pathology AI. Drew is part of the Emory Empathetic AI for Health Institute and the AI.Humanity initiative at Emory University, Atlanta, USA. We will hear all about his exciting research on clinical translation of Pathology AI. A multimodal generative AI copilot for human pathology...
